{"id":"W4252690012","doi":"10.1002/div.6475","title":"Sherwin‐Williams Co.","year":2007,"lang":"en","type":"article","venue":"Mergent s Dividend Achievers","topic":"Corporate Governance and Law","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Original equipment manufacturer; Business; Automotive industry; China; Engineering; Commerce; Geography; Archaeology; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005409951,0.001919568,0.0008686702,0.003390547,0.001590956,0.004375042,0.001384297,0.00194428,0.8040826],"category_scores_gemma":[0.00183635,0.0009644984,0.0004943341,0.003763559,0.0008132426,0.003433702,0.002574386,0.002368476,0.7669029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001036238,"about_ca_system_score_gemma":0.001646573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005918499,"about_ca_topic_score_gemma":0.01371575,"domain_scores_codex":[0.9992597,0.00005053888,0.0000511753,0.0002239699,0.0003450045,0.00006958255],"domain_scores_gemma":[0.998543,0.0002010316,0.00009520387,0.0003403732,0.0005924643,0.0002279655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000835505,0.0000992217,0.0004889492,0.0002694102,0.000008741527,0.0002647422,0.0001663931,0.0001952271,0.001650056,0.01358457,0.542413,0.4407762],"study_design_scores_gemma":[0.000008810714,0.00001764476,0.0004924429,0.0001564457,0.0000030695,0.0001548311,0.00007135921,0.0001004445,0.0003537182,0.001291403,0.9973425,0.000007333921],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000541043,0.00239511,0.001738648,0.0007817072,0.0003495976,0.00008798472,0.002398001,0.00266133,0.9890465],"genre_scores_gemma":[0.001611513,0.001119922,0.0006660823,0.0001632292,0.00002839524,0.00003693921,0.0009184797,0.0003310624,0.9951244],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8040826,"threshold_uncertainty_score":0.2794523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02067529299821198,"score_gpt":0.2396936752775583,"score_spread":0.2190183822793463,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}